Description Usage Arguments Value See Also

Parameters that control fitting of maximin projection learning.

1 | ```
MPL.control(pi.est = NULL, h.est = NULL, boot.sample = 600)
``` |

`pi.est` |
Estimated propentisy score for each patient. If not specified, a logistic regression model is fitted to estimate the propensity score. |

`h.est` |
Estimated baseline function for each patient. If not specified, a linear regression model is fitted to estimate the baseline function. |

`boot.sample` |
Number of bootstrap samples used for inference of the maximin effects and the subgroup parameter. Default is 600. |

A list with the arguments specified.

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